अApnaFunda

FEDERAL BANK LTD (FEDERALBNK)

Finance · Major Banks · figures to Nov '26

Quality scoreHow the business itself ranks against its sector peers on profitability, 3-year growth and leverage. 50 is the middle of the sector.47 / 100
Profitability 56Growth 38
Momentum scoreHow strong the recent trend is: 3-month price change, 12-month improvement in earnings and the rise in FII + DII holding, among companies above ₹500 cr.65 / 100
Price 56Earnings 52FII/DII 88

Passes these screensHigh Momentum

Share price

Closing priceAdjusted for splits and bonus issues.

₹344.1 latest close · +5.1% over the last 90 sessions

₹320₹340₹360Jul 3Jul 29Aug 24Sep 17Oct 14Nov 9 ₹320₹340₹360Jul 3Sep 4Nov 9

₹344.1 month-end · +33.4% over 12 months

₹250₹300₹350Nov '25Jan '26Apr '26Jun '26Sep '26Nov '26 ₹250₹300₹350Nov '25May '26Nov '26

₹344.1 month-end · +133.5% over 3 years

₹200₹300Nov '23Jun '24Jan '25Sep '25Apr '26Nov '26 ₹200₹300Nov '23May '25Nov '26

₹344.1 month-end · +300.6% since Jan '19

₹100₹200₹300Jan '19Aug '20Mar '22Sep '23Apr '25Nov '26 ₹100₹200₹300Jan '19Dec '22Nov '26

52-week range ₹232.42 to ₹371.70 · 1-year volatility 25.4%

Was the rally earned?

+33%share price, 1 yearEarnings and multiple

Both mattered.

  • Per-share earnings added 16 points and the multiple added 17 points (P/E 15.6x to 18.1x).
  • The share count rose 2%.
Net profit growth: +19 pts. Points of the price return explained by net profit growing (or shrinking).+19 ptsNet profit growthP/E change: +17 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+17 ptsP/E changeShare count change: −2 pts. Points of the price return explained by the share count changing. More shares count against the price.−2 ptsShare count changeShare price: +33%+33%Share priceNet profit growth: +19 pts. Points of the price return explained by net profit growing (or shrinking).+19ProfitP/E change: +17 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+17P/EShare count change: −2 pts. Points of the price return explained by the share count changing. More shares count against the price.−2SharesShare price: +33%+33%Share price
Net profit growth+19 ptsNet profit rose about 18%, which lifts the price.
P/E change+17 ptsThe P/E rose from 15.6x to 18.1x, which lifts the price.
Share count change-2 ptsShare count rose 2%, which lowers the price.
+134%share price, 3 yearsMultiple-driven

Partly.

  • Most of the rise came from investors paying a higher multiple (P/E 9.9x to 18.1x); per-share earnings added 38 points.
  • The share count rose 19%.
Net profit growth: +66 pts. Points of the price return explained by net profit growing (or shrinking).+66 ptsNet profit growthP/E change: +96 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+96 ptsP/E changeShare count change: −28 pts. Points of the price return explained by the share count changing. More shares count against the price.−28 ptsShare count changeShare price: +134%+134%Share priceNet profit growth: +66 pts. Points of the price return explained by net profit growing (or shrinking).+66ProfitP/E change: +96 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+96P/EShare count change: −28 pts. Points of the price return explained by the share count changing. More shares count against the price.−28SharesShare price: +134%+134%Share price
Net profit growth+66 ptsNet profit rose about 52%, which lifts the price.
P/E change+96 ptsThe P/E rose from 9.9x to 18.1x, which lifts the price.
Share count change-28 ptsShare count rose 19%, which lowers the price.
+296%share price, 5 yearsEarnings and multiple

Both mattered.

  • Per-share earnings added 177 points and the multiple added 119 points (P/E 10.4x to 18.1x).
  • The share count rose 27%.
Net profit growth: +229 pts. Points of the price return explained by net profit growing (or shrinking).+229 ptsNet profit growthP/E change: +119 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+119 ptsP/E changeShare count change: −52 pts. Points of the price return explained by the share count changing. More shares count against the price.−52 ptsShare count changeShare price: +296%+296%Share priceNet profit growth: +229 pts. Points of the price return explained by net profit growing (or shrinking).+229ProfitP/E change: +119 pts. Points of the price return explained by the market paying a higher or lower P/E multiple.+119P/EShare count change: −52 pts. Points of the price return explained by the share count changing. More shares count against the price.−52SharesShare price: +296%+296%Share price
Net profit growth+229 ptsNet profit rose about 190%, which lifts the price.
P/E change+119 ptsThe P/E rose from 10.4x to 18.1x, which lifts the price.
Share count change-52 ptsShare count rose 27%, which lowers the price.
What do "pts" mean?

"pts" are percentage points of the share price return. The parts add up to the total shown for each period. Because price = P/E × net profit ÷ share count, higher profit pushes the price up, a higher P/E pushes it up, and more shares push it down.

Example: if the price rose 34% and profit growth accounts for +58 pts while a lower P/E accounts for -24 pts, then 58 - 24 = 34. The +58 is not the profit growth rate itself: it is the part of the price move that profit growth explains.

Net profit is trailing twelve months as reported with a 60-day lag.

Compare this with HDFC BANK

How rough has the ride been?

Maximum drawdown-66.0%recovered 2022-08
1-year volatility25.4%annualised
Beta vs sector index0.713-year daily, correlation 0.51
Volume spikes3last 90 sessions, 5x the 50-day median

Drawdown from peak

0%−20%−40%−60%2020202120222023202420252026−66.0% 0%−20%−40%−60%2020202220242026−66.0%
Largest drawdowns

-66.0% (2019-07 peak to 2020-05 low, recovered 2022-08)

-18.2% (2019-01 peak to 2019-02 low, recovered 2019-04)

-18.1% (2024-12 peak to 2025-03 low, recovered 2025-07)

Most recent volume spikes

2026-10-19: 6.4x the 50-day median, price +3.2% that day

2026-10-16: 5.8x the 50-day median, price +0.9% that day

2026-07-17: 6.2x the 50-day median, price +6.9% that day

Beta is the slope of daily returns against a market-cap-weighted index of the sector's other listed companies, built from today's constituents (so it excludes companies no longer listed).

Is it expensive against its own past and its peers?

2.1xP/B todayNear its historic high
Against its own history98th percentile
CheapestMedian 1.4xDearest

Usual range 0.9x to 1.9x since 2019-01.

Against Finance2.1x vs 1.5x
This company
2.1x
Sector median
1.5x

40% above the Finance median.

0.6x1.2x1.8x2.4xJan '19Aug '20Mar '22Oct '23May '25Nov '260.6x1.2x1.8x2.4xJan '19Sep '21May '24Nov '26
P/B (this company)10th to 90th percentile of its own historyIts medianFinance median

The chart loads when you open this tab.

P/E (this company)10th to 90th percentile of its own historyIts medianFinance median

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P/S (this company)10th to 90th percentile of its own historyIts medianFinance median
How to read this

Shaded band: 10th to 90th percentile of the company's own P/B history; dotted line: its median; orange line: sector median (companies with a positive multiple, at least 5 in the sector).

Sector figures are built from today's listed companies, so they exclude companies that are no longer listed.

All terms explained in the glossary →

How Finance is valued

Where does it rank among Finance peers?

Each cell is the company's percentile rank among its Finance peers (banks and financial companies) that month.
Darker is better-ranked.
Rows marked ↓ are inverted (lower debt, shorter cash cycle and a lower P/E rank higher).

Where it ranks today

  • ROE (approx.)56th▼ 3 pts vs a year ago
  • EPS growth49th▲ 16 pts vs a year ago
  • P/B ↓35th▼ 16 pts vs a year ago
  • 12M momentum90th▲ 18 pts vs a year ago
  • FII + DII98thflat vs a year ago

Rank history

ROE (approx.)
EPS growth
P/B ↓
12M momentum
FII + DII
Dec '21Jul '22Jan '23Jul '23Jan '24Jul '24Jan '25Jul '25Jan '26Jul '26Nov '26
Lower rank Higher rank Not enough data

Percentiles use today's listed companies in the sector and need at least 5 peers with a value; grey cells have too few.
ROE is computed from net profit and book value where the source does not report it.

The Finance sector page Watch it move against Finance in the Observatory

What is the price implying?

~17%annual earnings growth implied by the priceIn line with delivered growth

At normalised P/E (five-year average earnings) of 24.5x, a holder earning 12%/yr needs earnings to grow about 17.2%/yr for 10 years, then trade at 15x.

Delivered17.8%/yrEPS, last 10 fiscal years · 3-yr avg to 3-yr avg
Gap−0.6 ptsimplied minus delivered
Rank19thmost demanding of 63 financials

Over time

Implied growth by month (solid) and delivered growth (dashed).

0%11%21% Jan 2019Nov 2026 0%11%21% Jan 2019Nov 2026

Change the assumptions

Exit P/E / return11%12%13%
12x18.7%19.8%20.8%
15x16.1%17.2%18.2%
20x12.9%13.9%14.9%

Drag a slider to test other assumptions

Implied: 17.2%/yr

Looking back

  • Jan 2020Price implied 14%/yr; EPS has since grown 16%/yr (7.0 yrs)
  • Jan 2021Price implied 10%/yr; EPS has since grown 15%/yr (6.0 yrs)
  • Jan 2022Price implied 11%/yr; EPS has since grown 17%/yr (5.0 yrs)

Past comparisons cover only companies listed today (survivorship bias) and say nothing about future outcomes.

“Implied growth” is what the current price would require under our stated assumptions, not what we expect. How this is calculated and the market-wide lists.

What prices imply across Finance The market-wide Expectations lists

Key figures

Share Priceclose 9 Nov
₹344.10
P/E
18.1x
Market Cap
₹85021 cr
Revenue (TTM)
₹30385 cr
P/S
2.8x
P/B
2.1x
ROE
12.0%
Debt / Equity
0.8x
12M Momentum
33.4%

52-week range

₹232.42₹371.70
80% of the way from its 52-week low to its high

Price risk

1Y volatility
25.4%
Beta vs sector
1-year daily
0.65

Balance sheet & cash

Share count, 1Y
+0.4%

Are profits backed by cash?

1 of 1checks within rangeAll clear
Tax rate25%Within range

Median quarterly effective tax rate over about 2.5 years: 25.0%. Bands: 15% to 35%, 5% to 15% or 35% to 50%, outside 5% to 50%.

Tap a check to see how it is measured

Cash conversion and receivable days are not meaningful for banks and NBFCs, so only the other-income and tax-rate checks are shown.

How to read this

Each check is a named rule with fixed thresholds, not a score. Annual statements are the latest restated figures, so a past year may differ from what was originally reported.

All terms explained in the glossary →

Who has been buying and selling?

  • Over 3 years, DIIs added 3.5 pts; FIIs added 0.7 pts.

Holdings, Jun '26

How each group changed

GroupSep '23Jun '26Change
Promoters———
FIIs27.0%27.7%+0.7 pts
DIIs45.7%49.3%+3.5 pts
Public and others27.3%23.0%-4.3 pts

Number of shareholders

8.1 lakhshareholders+4% since Sep '23
7.8L8.1L8.4L8.7L Sep '23Jun '24Mar '25Dec '25Jun '26
Sep '23: 7.8 lakh
Dec '23: 8.0 lakh
Mar '24: 8.7 lakh
Jun '24: 8.6 lakh
Sep '24: 8.5 lakh
Dec '24: 8.5 lakh
Mar '25: 8.5 lakh
Jun '25: 8.5 lakh
Sep '25: 8.5 lakh
Dec '25: 8.2 lakh
Mar '26: 8.2 lakh
Jun '26: 8.1 lakh
7.8L8.1L8.4L8.7L Sep '23Sep '24Sep '25Jun '26
Sep '23: 7.8 lakh
Dec '23: 8.0 lakh
Mar '24: 8.7 lakh
Jun '24: 8.6 lakh
Sep '24: 8.5 lakh
Dec '24: 8.5 lakh
Mar '25: 8.5 lakh
Jun '25: 8.5 lakh
Sep '25: 8.5 lakh
Dec '25: 8.2 lakh
Mar '26: 8.2 lakh
Jun '26: 8.1 lakh

Quarterly shareholding as reported, labelled by the quarter it covers (it becomes visible about two months later).
Shareholder counts are only available for recent quarters.

This quarter's smart-money board

What happened next to similar setups

−3.7%typical 12-month return vs the marketNot meaningfully different from the base rate
  • We found 50 past situations where a bank, NBFC or insurer looked like FEDERAL BANK LTD today on valuation, return on capital, growth, price momentum, size and volatility.
  • Over the following 12 months the middle half of them returned −23% to +13% vs the market, against −1% for all financial companies in the same months.
  • The gap against the base rate (−2.9%, 80% range −7.3% to +3.2%) is within what chance and overlapping periods produce.

Where the 50 outcomes landed

−100%−50%0%+50%+100%
IIFL · Aug 2023: −47.4% vs market
DCBBANK · Feb 2020: −47.2% vs market
CUB · Feb 2020: −43.6% vs market
EQUITASBNK · Jul 2023: −42.2% vs market
IDFCFIRSTB · Jul 2023: −40.9% vs market
RBLBANK · Aug 2023: −35.3% vs market
SUNDARMFIN · Apr 2021: −34.5% vs market
SBICARD · Sep 2025: −34.5% vs market
CREDITACC · Jan 2020: −27.2% vs market
HDFCBANK · Sep 2025: −25.9% vs market
CSBBANK · Jul 2025: −25.5% vs market
APTUS · May 2025: −25.3% vs market
BANDHANBNK · Feb 2022: −23.9% vs market
SBFC · Oct 2025: −21.8% vs market
AAVAS · Jan 2025: −19.6% vs market
IDBI · Jun 2025: −19.4% vs market
INDIASHLTR · May 2025: −14.4% vs market
M&MFIN · Oct 2025: −10.4% vs market
CHOLAHLDNG · May 2021: −10.3% vs market
BAJFINANCE · Jun 2021: −10.3% vs market
KOTAKBANK · May 2025: −9.4% vs market
MASFIN · Aug 2025: −8.8% vs market
PNBHOUSING · Jun 2025: −6.6% vs market
RECLTD · May 2020: −5.3% vs market
AXISBANK · Sep 2021: −4.7% vs market
FEDFINA · Sep 2025: −2.8% vs market
YESBANK · Sep 2025: −2.0% vs market
LICHSGFIN · Sep 2022: −1.3% vs market
BANKBARODA · May 2023: +1.0% vs market
PNB · Sep 2025: +2.5% vs market
AADHARHFC · May 2025: +5.1% vs market
INDUSINDBK · Sep 2021: +6.2% vs market
IOB · Dec 2022: +6.2% vs market
HOMEFIRST · Feb 2022: +7.6% vs market
UJJIVANSFB · Oct 2025: +8.2% vs market
MAHABANK · Sep 2020: +9.9% vs market
SBIN · Mar 2022: +11.8% vs market
CANFINHOME · May 2020: +13.6% vs market
SHRIRAMFIN · Oct 2024: +16.3% vs market
MANAPPURAM · Aug 2025: +20.8% vs market
CHOLAFIN · Feb 2020: +24.4% vs market
ICICIBANK · Mar 2022: +26.5% vs market
LTF · Jul 2025: +45.8% vs market
INDIANB · Nov 2024: +49.6% vs market
MUTHOOTFIN · Oct 2024: +60.5% vs market
KARURVYSYA · Feb 2025: +64.9% vs market
UCOBANK · Nov 2022: +67.2% vs market
PSB · Nov 2022: +72.2% vs market
CGCL · Jun 2020: +93.5% vs market
IRFC · Aug 2023: +141.6% vs market
Similar setups −3.7%All companies −0.8%← worse than the marketbetter than the market →

Each dot is one past situation (hover or tap for details) · Solid dots are the closest matches, listed below · Shaded is the middle half of all companies in the same months · 1 beyond the range shown, drawn at the edge

Similar setups' median
−3.7%
All companies' median
−0.8%
Beat the market
44% vs 49%

50 past situations · 50 companies · 27 months · 2020–2025

The closest matches

CompanyWhenP/EP/B12M mom.DrawdownNext 12 months
CUB
Finance
Feb 2020 23x3.3x +17%−12% −44%
AXISBANK
Finance
Sep 2021 33x2.3x +81%−6% −5%
SBIN
Finance
Mar 2022 20x1.6x +36%−9% +12%
LTF
Finance
Jul 2025 19x2.0x +13%−5% +46%
KOTAKBANK
Finance
May 2025 18x3.2x +23%−9% −9%
Show the other 3 matches
CompanyWhenP/EP/B12M mom.DrawdownNext 12 months
M&MFIN
Finance
Oct 2025 19x2.0x +23%−1% −10%
SHRIRAMFIN
Finance
Oct 2024 15x2.7x +67%−14% +16%
INDUSINDBK
Finance
Sep 2021 29x2.0x +111%−5% +6%
How reliable is this?

Matched on P/E, P/B, ROE, revenue growth, 12-month momentum, drawdown from 12-month high, size and volatility. Closest on: drawdown from 12-month high, ROE and P/E. One match per company and at most 7 from any one month.

Independent periods: the matches fall in 5 distinct 12-month windows. Matches from nearby months share the same market conditions, so fewer windows means less evidence.

How this is built

This is history, not a forecast. These are past situations where other companies had broadly similar reported numbers and price trends. What happened to them does not tell you what will happen to FEDERAL BANK LTD. The comparison covers only 2020–2025, a single market period, and only companies still listed today. Companies that were delisted or went bankrupt are missing, which makes past outcomes look better than they were. Returns exclude dividends and are measured against an ApnaFunda-built index, not an official benchmark. Fundamentals are matched on a 60-day assumed reporting lag, not actual announcement dates. Its historical skill has not yet been measured. Past patterns may not repeat.

Methodology

How historical analogs are built

Data as of 2026-11-09. Outcome pool: Jan 2020 to Oct 2025.

For every company we look at the situation it is in today (valuation, return on capital, margins, debt, growth, 12-month price momentum, drawdown, size and volatility) and find past company-months that looked most like it. We then show what happened to those past situations over the following 12 months, measured against the ApnaFunda All index and against the base rate. It describes history. It does not predict anything.

What is compared

FeatureWeightNon-financialFinancial
P/E1yesyes
P/S1yes—
P/B1—yes
ROCE1yes—
operating margin1yes—
ROE1—yes
debt/equity0.75yes—
interest cover0.5yes—
revenue growth0.75yesyes
12-month momentum1yesyes
drawdown from 12-month high0.75yesyes
size0.75yesyes
volatility0.5yesyes

Weights were set by judgement before any outcome was looked at and are never tuned on results. Loss-making companies (negative P/E or net profit) are only matched with other loss-making companies. Banks, NBFCs and insurers are compared only with each other and use a different feature set. Every feature is converted, month by month, to its rank among companies in the same pool in that month, so a P/E of 30 in a hot market and a P/E of 22 in a cold one can match if both were equally expensive for their time. Only that month's data is used.

How closeness and the sample are defined

Distance is the weighted root-mean-square gap between the standardised features both companies have. A match needs at least 70% of the query's feature weight, a distance of at most 0.9, and 30 matches at minimum to be shown. We keep up to 50 matches with these exclusions: never the company itself, one match per company (its closest month), and at most 7 from any one calendar month so a single market episode cannot dominate.

Base rate

The base rate is the distribution of 12-month returns, relative to the market, of every eligible company-month in the same pool, with each month weighted to match the months the analogs came from. It answers: how did a random company do in these same months? Because matches from nearby months share the same market conditions, we also report the number of distinct 12-month windows behind a result, and a bootstrap that resamples months decides whether the analog median differs from the base rate at all. "Not meaningfully different" is the usual outcome and the page copy is written for it.

Limits you should know

  • One market period. The outcome pool covers 2020–2025 only (70 months), including the 2020 crash and the 2020–21 rally.
  • Survivorship. Only companies listed today are included. Delisted and bankrupt companies are missing, which flatters past outcomes, particularly for distressed-looking setups.
  • Price return only. Dividends are excluded, and the benchmark is an ApnaFunda market-cap-weighted index of the same listed companies, not an official index.
  • Reporting lag. Fundamentals are matched on an assumed 60-day lag after the quarter end, not on real announcement dates.
  • Pools: non-financial: 98,395 company-months from 2019 companies; financial: 5,659 company-months from 108 companies. 2349 companies currently have a result; the rest are suppressed because too few comparable situations exist.

Does it work? A walk-forward check

The walk-forward check has not been run for this build, so skill is shown as not yet measured.

Disclaimer

This is history, not a forecast. These are past situations where other companies had broadly similar reported numbers and price trends. What happened to them does not tell you what will happen to any company shown. The comparison covers only 2020–2025, a single market period, and only companies still listed today. Companies that were delisted or went bankrupt are missing, which makes past outcomes look better than they were. Returns exclude dividends and are measured against an ApnaFunda-built index, not an official benchmark. Fundamentals are matched on a 60-day assumed reporting lag, not actual announcement dates. Its historical skill has not yet been measured. Past patterns may not repeat.

What else looks like this?

Companies with the most similar financial profile today, regardless of industry.

Finance
73%similar
market capP/B
Finance
72%similar
EPS growthP/B
HDFC BANKHDFCBANK
Finance
62%similar
P/BEPS growth

Similarity is statistical, based on reported metrics; it does not imply similar business quality or future returns.

What changed?

30 events since Jun '22

  1. OctPriceVolume reached 6.4x its 50-day median on 2026-10-19; price +3.2% that day.
  2. JulPriceVolume reached 6.2x its 50-day median on 2026-07-17; price +6.9% that day.
  3. MayPriceVolume reached 30.3x its 50-day median on 2026-05-29; price +0.0% that day.
  4. MarResultsYear-on-year EPS growth turned positive.
  5. JanPriceVolume reached 9.8x its 50-day median on 2026-01-16; price +9.5% that day.
  6. OctValuationP/B crossed above the 90th percentile of its own history to date (1.7x).
  7. OctPriceVolume reached 9.6x its 50-day median on 2025-10-20; price +6.9% that day.
  8. SepResultsYear-on-year EPS growth turned negative.
Show 22 earlier events
  1. MarValuationP/B crossed above the 90th percentile of its own history to date (1.5x).
  2. JanPriceVolume reached 5.7x its 50-day median on 2025-01-28; price -3.7% that day.
  3. OctPriceVolume reached 8.3x its 50-day median on 2024-10-29; price +8.5% that day.
  4. JunResultsRevenue (TTM) reached a new high of ₹23,565 cr.
  5. JunPeer rankSlipped to the 3rd quartile of Finance on EPS growth (from the 2nd quartile).
  6. JunDebtDebt / equity fell below 1.0x (0.84x).
  7. JunSharesShare count is up 15.1% over 12 months.
  8. MayPriceVolume reached 5.4x its 50-day median on 2024-05-02; price +3.3% that day.
  9. AprValuationP/B crossed above the 90th percentile of its own history to date (1.5x).
  10. DecValuationP/B crossed above the 90th percentile of its own history to date (1.5x).
  11. JulPriceVolume reached 6.8x its 50-day median on 2023-07-13; price -5.6% that day.
  12. JunResultsRevenue (TTM) reached a new high of ₹17,812 cr.
  13. JunPeer rankMoved into the 2nd quartile of Finance on EPS growth (from the 3rd quartile).
  14. JunDividendDividend payout cut from 19% to 7% of profit.
  15. MayPriceVolume reached 6.1x its 50-day median on 2023-05-05; price -8.4% that day.
  16. AprValuationP/B crossed above the 90th percentile of its own history to date (1.4x).
  17. JanPriceVolume reached 5.5x its 50-day median on 2023-01-16; price +1.3% that day.
  18. OctValuationP/B crossed above the 90th percentile of its own history to date (1.4x).
  19. SepPriceVolume reached 5.5x its 50-day median on 2022-09-05; price +3.3% that day.
  20. AugPriceRegained the 2019-07 peak, 27 months after the low.
  21. JunResultsRevenue (TTM) reached a new high of ₹14,382 cr.
  22. JunDebtDebt / equity rose above 1.0x (1.02x).

Events are generated from the data by fixed rules.
The month shown is when the change became visible in the reported figures, assuming a 60-day lag after each quarter end; it is not an announcement date.

Where price and fundamentals disagree, market-wide Rewind the whole market to any month

Monthly history95 months · 2019-01 to 2026-11
MonthP/ERevenue (TTM)ROEDebt / Equity
2026-1118.1x₹30385 cr12.0%0.8x
2026-1017.9x₹30385 cr12.0%0.8x
2026-0916.7x₹30385 cr12.0%0.8x
2026-0820.2x₹29674 cr12.0%0.8x
2026-0720.3x₹29674 cr12.0%0.8x
2026-0618.7x₹29674 cr12.0%0.8x
2026-0517.4x₹28835 cr13.0%0.9x
2026-0417.2x₹28835 cr13.0%0.9x
2026-0315.6x₹28835 cr13.0%0.9x
2026-0218.7x₹28740 cr13.0%0.9x
2026-0117.9x₹28740 cr13.0%0.9x
2025-1216.6x₹28740 cr13.0%0.9x
2025-1115.6x₹28530 cr13.0%0.9x
2025-1014.3x₹28530 cr13.0%0.9x
2025-0911.7x₹28530 cr13.0%0.9x
2025-0811.3x₹28107 cr13.0%0.9x
2025-0711.9x₹28107 cr13.0%0.9x
2025-0612.6x₹28107 cr13.0%0.9x
2025-0512.2x₹27338 cr15.0%0.8x
2025-0411.9x₹27338 cr15.0%0.8x
2025-0311.7x₹27338 cr15.0%0.8x
2025-0210.5x₹26158 cr15.0%0.8x
2025-0111.1x₹26158 cr15.0%0.8x
2024-1211.8x₹26158 cr15.0%0.8x
2024-1112.6x₹24943 cr15.0%0.8x
2024-1012.2x₹24943 cr15.0%0.8x
2024-0911.8x₹24943 cr15.0%0.8x
2024-0812.2x₹23565 cr15.0%0.8x
2024-0712.6x₹23565 cr15.0%0.8x
2024-0611.1x₹23565 cr15.0%0.8x
2024-0510.8x₹17812 cr15.0%1.2x
2024-0410.9x₹17812 cr15.0%1.2x
2024-0310.0x₹17812 cr15.0%1.2x
2024-0210.1x₹17812 cr15.0%1.2x
2024-019.9x₹17812 cr15.0%1.2x
2023-1210.4x₹17812 cr15.0%1.2x
2023-119.9x₹17812 cr15.0%1.2x
2023-109.4x₹17812 cr15.0%1.2x
2023-099.8x₹17812 cr15.0%1.2x
2023-089.6x₹17812 cr15.0%1.2x
2023-079.1x₹17812 cr15.0%1.2x
2023-068.4x₹17812 cr15.0%1.2x
2023-0513.4x₹14382 cr11.0%1.0x
2023-0414.4x₹14382 cr11.0%1.0x
2023-0314.1x₹14382 cr11.0%1.0x
2023-0213.8x₹14382 cr11.0%1.0x
2023-0114.3x₹14382 cr11.0%1.0x
2022-1214.8x₹14382 cr11.0%1.0x
2022-1114.0x₹14382 cr11.0%1.0x
2022-1014.0x₹14382 cr11.0%1.0x
2022-0912.7x₹14382 cr11.0%1.0x
2022-0812.5x₹14382 cr11.0%1.0x
2022-0711.4x₹14382 cr11.0%1.0x
2022-069.6x₹14382 cr11.0%1.0x
2022-0510.7x₹14314 cr11.0%0.7x
2022-0411.5x₹14314 cr11.0%0.7x
2022-0311.7x₹14314 cr11.0%0.7x
2022-0211.6x₹14314 cr11.0%0.7x
2022-0112.1x₹14314 cr11.0%0.7x
2021-1210.0x₹14314 cr11.0%0.7x
2021-1110.4x₹14314 cr11.0%0.7x
2021-1011.7x₹14314 cr11.0%0.7x
2021-0910.1x₹14314 cr11.0%0.7x
2021-089.7x₹14314 cr11.0%0.7x
2021-0710.5x₹14314 cr11.0%0.7x
2021-0610.4x₹14314 cr11.0%0.7x
2021-0511.0x₹13590 cr11.0%0.8x
2021-0410.1x₹13590 cr11.0%0.8x
2021-039.6x₹13590 cr11.0%0.8x
2021-0210.5x₹13590 cr11.0%0.8x
2021-019.1x₹13590 cr11.0%0.8x
2020-128.4x₹13590 cr11.0%0.8x
2020-117.9x₹13590 cr11.0%0.8x
2020-106.4x₹13590 cr11.0%0.8x
2020-096.1x₹13590 cr11.0%0.8x
2020-087.0x₹13590 cr11.0%0.8x
2020-076.8x₹13590 cr11.0%0.8x
2020-066.4x₹13590 cr11.0%0.8x
2020-056.8x₹11635 cr10.0%0.6x
2020-047.4x₹11635 cr10.0%0.6x
2020-036.2x₹11635 cr10.0%0.6x
2020-0213.0x₹11635 cr10.0%0.6x
2020-0113.8x₹11635 cr10.0%0.6x
2019-1213.3x₹11635 cr10.0%0.6x
2019-1113.4x₹11635 cr10.0%0.6x
2019-1012.6x₹11635 cr10.0%0.6x
2019-0913.6x₹11635 cr10.0%0.6x
2019-0812.5x₹11635 cr10.0%0.6x
2019-0713.9x₹11635 cr10.0%0.6x
2019-0616.3x₹11635 cr10.0%0.6x
2019-0522.6x₹9915 cr9.0%1.0x
2019-0419.6x₹9915 cr9.0%1.0x
2019-0320.3x₹9915 cr9.0%1.0x
2019-0217.7x₹9915 cr9.0%1.0x
2019-0118.1x₹9915 cr9.0%1.0x

Methodology and data notes

Methodology

Methodology and data notes

All figures come from public exchange prices and screener.in financial statements. Quarterly and annual results are shown from 60 days after the period end, so a month never uses a result before it would plausibly have been published. Statements are the latest versions, which may include later restatements.

Sector medians, percentiles and indices use today's listed companies in the sector (survivorship bias). Prices are adjusted for splits and bonus issues; around a corporate action the fundamentals may lag the price by up to a month, and affected sections are hidden.

The return decomposition uses price = P/E × net profit ÷ share count. The reverse DCF uses a fixed 12% cost of equity, a 10-year horizon and a 15x terminal P/E, and is an illustration only. Events, flags and twins follow fixed rules and thresholds described next to each section.

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